Add to ORKGAs the use of the web grows globally and exponentially, it becomes increasingly harder for users to find the information they want. Therefore, there is a need for good information filtering mechanisms. This paper presents a new, efficient information filtering method using word clusters. Traditional filtering methods only consider the relevance values of document. As a result, these conventional methods fail to consider the efficiency of document retrieval, which is also crucial. Our algorithm using offline computation attempts to cluster similar documents based on words shared by documents to produce clusters, so that the efficiency of information filtering and retrieval can be improved.
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Document clustering, which is also refered to as text clustering, is a technique of unsupervised doc...
Conventional document retrieval systems (e.g., Alta Vista) return long lists of ranked documents in ...
In this paper we present a word encoding and clustering technique that groups web documents based on...
This thesis presents new methods for classification and thematic grouping of billions of web pages, ...
The process of clustering documents in a manner which produces accurate and compact clusters becomes...
The huge volume of text documents available on the internet has made it difficult to find valuable i...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
We present a novel implementation of the recently introduced information bottleneck method for unsup...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
The information on the WWW is growing at an exponential rate; therefore, search engines are required...
This paper discusses the issues involved in the design of a complete information retrieval system ba...
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Document clustering, which is also refered to as text clustering, is a technique of unsupervised doc...
Conventional document retrieval systems (e.g., Alta Vista) return long lists of ranked documents in ...
In this paper we present a word encoding and clustering technique that groups web documents based on...
This thesis presents new methods for classification and thematic grouping of billions of web pages, ...
The process of clustering documents in a manner which produces accurate and compact clusters becomes...
The huge volume of text documents available on the internet has made it difficult to find valuable i...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
We present a novel implementation of the recently introduced information bottleneck method for unsup...
Word clustering is important for automatic thesaurus construction, text classification, and word sen...
The information on the WWW is growing at an exponential rate; therefore, search engines are required...
This paper discusses the issues involved in the design of a complete information retrieval system ba...
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Current rnajor search engines on the web retrieve too many documents, of which only a small fraction...
Document clustering, which is also refered to as text clustering, is a technique of unsupervised doc...